Unlock the full potential of LinkedIn data with our extensive dataset that combines profiles, company information, and job listings into one powerful resource for business decision-making, strategic hiring, competitive analysis, and market trend insights. This all-encompassing dataset is ideal for professionals, recruiters, analysts, and marketers aiming to enhance their strategies and operations across various business functions. Dataset Features

Profiles: Dive into detailed public profiles featuring names, titles, positions, experience, education, skills, and more. Utilize this data for talent sourcing, lead generation, and investment signaling, with a refresh rate ensuring up to 30 million records per month. Companies: Access comprehensive company data including ID, country, industry, size, number of followers, website details, subsidiaries, and posts. Tailored subsets by industry or region provide invaluable insights for CRM enrichment, competitive intelligence, and understanding the startup ecosystem, updated monthly with up to 40 million records. Job Listings: Explore current job opportunities detailed with job titles, company names, locations, and employment specifics such as seniority levels and employment functions. This dataset includes direct application links and real-time application numbers, serving as a crucial tool for job seekers and analysts looking to understand industry trends and the job market dynamics.

Customizable Subsets for Specific Needs Our LinkedIn dataset offers the flexibility to tailor the dataset according to your specific business requirements. Whether you need comprehensive insights across all data points or are focused on specific segments like job listings, company profiles, or individual professional details, we can customize the dataset to match your needs. This modular approach ensures that you get only the data that is most relevant to your objectives, maximizing efficiency and relevance in your strategic applications. Popular Use Cases

Strategic Hiring and Recruiting: Track talent movement, identify growth opportunities, and enhance your recruiting efforts with targeted data. Market Analysis and Competitive Intelligence: Gain a competitive edge by analyzing company growth, industry trends, and strategic opportunities. Lead Generation and CRM Enrichment: Enrich your database with up-to-date company and professional data for targeted marketing and sales strategies. Job Market Insights and Trends: Leverage detailed job listings for a nuanced understanding of employment trends and opportunities, facilitating effective job matching and market analysis. AI-Driven Predictive Analytics: Utilize AI algorithms to analyze large datasets for predicting industry shifts, optimizing business operations, and enhancing decision-making processes based on actionable data insights.

Whether you are mapping out competitive landscapes, sourcing new talent, or analyzing job market trends, our LinkedIn dataset provides the tools you need to succeed. Customize your access to fit specific needs, ensuring that you have the most relevant and timely data at your fingertips.

LinkedIn is the world’s preeminent social network for professionals. Members create CVs, list their current and previous job roles, skills and education. The business network is also a recruiting...

As of early 2025, LinkedIn had an audience reach of *** million users in the *************. The country was by far the leading market of the professional job networking service, with runner-up India having an audience of *** million. LinkedIn: the company Launched in 2003, LinkedIn is a professional networking service where jobseekers can post their CVs, and employers or recruiters can post job ads and search for prospective candidates. In December 2016, Microsoft acquired LinkedIn, making it a wholly owned subsidiary. In 2020, the platform generated over ***** billion U.S. dollars in revenue. Despite its great success, the company has not always seen positive numbers only, and in 2018, LinkedIn reported an operating loss of *** million U.S. dollars. LinkedIn marketing Greater exposure, lead generation and increased thought leadership are all key benefits of social media marketing, and LinkedIn is a popular marketing tool in the B2B segment. Whereas the company predominantly generates revenue by selling access to member information to professional parties, LinkedIn is the second-most popular social media platform used by B2B marketers, ranking only behind Facebook.

The number of LinkedIn users in the United States was forecast to continuously increase between 2024 and 2028 by in total **** million users (+**** percent). After the ninth consecutive increasing year, the LinkedIn user base is estimated to reach ****** million users and therefore a new peak in 2028. Notably, the number of LinkedIn users of was continuously increasing over the past years.User figures, shown here with regards to the platform LinkedIn, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of LinkedIn users in countries like Canada and Mexico.

Access over 920 million global LinkedIn profiles data enriched with detailed B2B LinkedIn people profiles and LinkedIn company data. This LinkedIn dataset offers accurate, structured information for professionals across industries, geographies, and company sizes. It is designed to support sales intelligence, recruiting, marketing, enrichment, investment research, and data platforms.

Our LinkedIn profile dataset includes verified and frequently updated records, making it ideal for data-driven teams looking to scale outreach, identify decision-makers, enrich CRM records, and improve targeting.

LinkedIn profile dataset :

755M+ LinkedIn People Profiles

70M+ LinkedIn Company Profiles

Full Name, Job Title, Company, Industry

LinkedIn Public Identifier and Profile URL

Location, Seniority, Education, Skills

Company Size, Revenue Range, Company Domain, Domain rank

Bi-Weekly Data Updates

Delivery Formats: CSV, JSON, PostgreSQL

API Access with Credit-Based Pricing

Use Cases

Sales Prospecting: Target decision-makers and buyers by title, seniority, region, and industry.

Recruiting: Source passive candidates using skills, experience, education, and seniority filters.

Data Enrichment: Append LinkedIn profile data to your CRM, CDP, or internal database.

Investment Research: Identify executive teams, founders, and key leadership at global companies.

Marketing Automation: Build high-quality outbound and ABM campaign lists using live LinkedIn data.

Technology & SaaS Platforms: Integrate LinkedIn profile data into your product via API.

Key Features

High-accuracy B2B LinkedIn data with 95%+ verified records

Wide global coverage across North America, Europe, LATAM, APAC, and MENA

Fast delivery with bi-weekly refresh cycles

Flexible access via API or flat file delivery

Supports real-time and large-scale enrichment workflows

GDPR and CCPA compliant

Who Uses This Data

Sales Intelligence Tools

Talent Acquisition & HR Tech Platforms

CRM and CDP Vendors

Private Equity and Venture Capital Firms

Data Enrichment Providers

Martech and Adtech Companies

Research and Analytics Firms

Delivery Options

API-based credit system (starting at $100 for 2,500 credits)

One-time file deliveries for specific LinkedIn IDs or data samples

Ongoing flat file subscriptions (CSV, JSON, or PostgreSQL)

Hourly or Bi-weekly refresh options

Trial & Evaluation Sample data and trial API credits are available to validate accuracy and fit for your use case. Volume-based pricing and custom delivery formats can be discussed on request.

The number of LinkedIn users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 1.5 million users (+4.51 percent). After the eighth consecutive increasing year, the LinkedIn user base is estimated to reach 34.7 million users and therefore a new peak in 2028. User figures, shown here with regards to the platform LinkedIn, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

Unlock the full potential of your social media outreach with our comprehensive Global Social Media Database, meticulously designed to meet your strategic needs. Covering major regions across the globe—APAC, Europe, Africa, North America, South America, and LATAM—this dynamic resource spans 16 diverse industries, making it a powerful catalyst for your marketing and social engagement strategies.

Global Geographical Coverage: Our database is designed to offer extensive coverage, enabling you to engage audiences across:

1. APAC (Asia-Pacific): China, India, Japan, South Korea, Australia, and more.
2. Europe: United Kingdom, Germany, France, Italy, Spain, and others.
3. Africa: South Africa, Nigeria, Kenya, Egypt, and more.
4. North America: United States, Canada, Mexico.
5. South America: Brazil, Argentina, Chile, Colombia, and more.
6. LATAM (Latin America): Brazil, Argentina, Peru, Venezuela, and other nations.

This widespread reach ensures that your campaigns resonate across both developed and emerging markets.

Industries Covered: Our data spans the following key industries:

1. Technology
2. Healthcare
3. Finance
4. Manufacturing
5. Education
6. Hospitality
7. Real Estate
8. Energy
9. Agriculture
10. Transportation
11. Media
12. Telecommunications
13. Automotive
14. Pharmaceutical
15. Aerospace

16. Retail

    Employee Size & Revenue: We recognize the importance of targeted outreach, which is why our database also includes employee size and revenue data for each company, ensuring that you can filter and approach organizations based on their scale and financial capacity. Whether you're targeting small businesses or multinational corporations, we’ve got you covered with customized insights to optimize your campaigns.

    Key Database Attributes: Our comprehensive social media data offers the following key attributes:

17. Total Contacts: 120M+

18. Social Platforms: LinkedIn, Facebook, YouTube, TwitterX

19. Direct Dials: Verified

20. Email Addresses: Verified

21. Live Profile Links: Provided on request

    What Sets Us Apart:

    1. Verified Direct Dials & Emails:
       Accuracy is our priority. Each contact in our database comes with verified direct dials and email addresses, ensuring you reach the right people, reducing wasted outreach efforts, and maximizing engagement.

    2. Free Lead Replacement:
       Understanding that social media data is ever-changing, we offer cost-free lead replacements, maintaining the quality and relevance of your contacts over time, with no added costs.

    3. Sourcing Excellence:
       Our data isn't merely aggregated. We use precise sourcing strategies, leveraging both publication sites and a dedicated contact discovery team, guaranteeing the authenticity and relevance of our database.

    4. Live Profile Links:
       Want to explore a profile in real-time? We provide live links to social media profiles across LinkedIn, Facebook, YouTube, and TwitterX, allowing seamless interaction and profile verification.

    5. Global Reach:
       Our reach extends across continents, from the vibrant tech hubs of APAC to thriving business sectors in North America, making our database indispensable for engaging diverse and global audiences.

    6. Industry-Specific Targeting:
       Our data is structured for industry-specific targeting. Whether you are engaging with healthcare, finance, or manufacturing professionals, we provide nuanced insights tailored to your needs, ensuring strategic precision.

    7. Strategic Asset:
       Our database isn't just a collection of contacts—it's a strategic asset. With 250M+ verified contacts, direct dials, and email addresses, it empowers you to align your social media strategy with your overall sales and marketing goals, enabling meaningful interactions that can translate into successful business engagements.

    Amplify Your Social Media Presence: Use our Global Social Media Data to drive meaningful connections and enhance your social media presence. With our data, you’ll have the ability to reach the right people, at the right time, on the right platforms. Whether you're exploring new territories, scaling your operations, or targeting niche industries, our data will empower you to make an impactful difference in your social media outreach.

Let us be your trusted partner as you navigate the intricate world of global social engagement strategies!

Facebook is fast approaching 3 billion monthly active users. That’s about 36% of the world’s entire population that log in and use Facebook at least once a month.

People Data Labs is an aggregator of B2B person and company data. We source our globally compliant person dataset via our "Data Union".

The "Data Union" is our proprietary data sharing co-op. Customers opt-in to sharing their data and warrant that their data is fully compliant with global data privacy regulations. Some data sources are provided as a one time dump, others are refreshed every time we do a new data build. Our data sources come from a variety of verticals including HR Tech, Real Estate Tech, Identity/Anti-Fraud, Martech, and others. People Data Labs works with customers on compliance based topics. If a customer wishes to ensure anonymity, we work with them to anonymize the data.

Our person data has over 100 fields including resume data (work history, education), contact information (email, phone), demographic info (name, gender, birth date) and social profile information (linkedin, github, twitter, facebook, etc...).

The number of LinkedIn users in Ukraine continuously increased until January 2023, when the figure dropped to about **** million users. As of October 2024, about *** million people in the country used the professional network, marking a slight increase from the previous month.

Updated 30 January 2023

Version 14 of Dataset

License Update:

There has been some confusion around licensing for this data set. Dr. Carla Patalano and Dr. Rich Huebner are the original authors of this dataset.

We provide a license to anyone who wishes to use this dataset for learning or teaching. For the purposes of sharing, please follow this license:

CC-BY-NC-ND This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Codebook

https://rpubs.com/rhuebner/hrd_cb_v14

PLEASE NOTE -- I recently updated the codebook - please use the above link. A few minor discrepancies were identified between the codebook and the dataset. Please feel free to contact me through LinkedIn (www.linkedin.com/in/RichHuebner) to report discrepancies and make requests.

Context

HR data can be hard to come by, and HR professionals generally lag behind with respect to analytics and data visualization competency. Thus, Dr. Carla Patalano and I set out to create our own HR-related dataset, which is used in one of our graduate MSHRM courses called HR Metrics and Analytics, at New England College of Business. We created this data set ourselves. We use the data set to teach HR students how to use and analyze the data in Tableau Desktop - a data visualization tool that's easy to learn.

This version provides a variety of features that are useful for both data visualization AND creating machine learning / predictive analytics models. We are working on expanding the data set even further by generating even more records and a few additional features. We will be keeping this as one file/one data set for now. There is a possibility of creating a second file perhaps down the road where you can join the files together to practice SQL/joins, etc.

Note that this dataset isn't perfect. By design, there are some issues that are present. It is primarily designed as a teaching data set - to teach human resources professionals how to work with data and analytics.

Content

We have reduced the complexity of the dataset down to a single data file (v14). The CSV revolves around a fictitious company and the core data set contains names, DOBs, age, gender, marital status, date of hire, reasons for termination, department, whether they are active or terminated, position title, pay rate, manager name, and performance score.

Recent additions to the data include: - Absences - Most Recent Performance Review Date - Employee Engagement Score

Acknowledgements

Dr. Carla Patalano provided the baseline idea for creating this synthetic data set, which has been used now by over 200 Human Resource Management students at the college. Students in the course learn data visualization techniques with Tableau Desktop and use this data set to complete a series of assignments.

Inspiration

We've included some open-ended questions that you can explore and try to address through creating Tableau visualizations, or R or Python analyses. Good luck and enjoy the learning!

• Is there any relationship between who a person works for and their performance score?
• What is the overall diversity profile of the organization?
• What are our best recruiting sources if we want to ensure a diverse organization?
• Can we predict who is going to terminate and who isn't? What level of accuracy can we achieve on this?
• Are there areas of the company where pay is not equitable?

There are so many other interesting questions that could be addressed through this interesting data set. Dr. Patalano and I look forward to seeing what we can come up with.

If you have any questions or comments about the dataset, please do not hesitate to reach out to me on LinkedIn: http://www.linkedin.com/in/RichHuebner

You can also reach me via email at: Richard.Huebner@go.cambridgecollege.edu

This bar chart displays employees (people) by LinkedIn link using the aggregation sum in the United States. The data is about companies.

This horizontal bar chart displays employees (people) by LinkedIn link using the aggregation sum. The data is filtered where the industry is Software. The data is about companies.

Global B2B Contact Database | 755M+ Verified LinkedIn Profiles | 95% Accuracy Stop guessing who still works where. Forager.ai delivers the world's most complete and dynamic B2B people intelligence—combining 755M+ LinkedIn profiles with verified mobile and email data, refreshed every 14 days to track role changes, promotions, and company moves.

Why Talent & Sales Teams Rely on Forager ✅ Passive Candidate Goldmine Over 40% of profiles include verified personal emails and mobile numbers, essential for reaching:

Executives who mask work contact details

Job-hoppers before they update LinkedIn

Hard-to-reach specialists (e.g. AI engineers, compliance leads)

✅ 100% Ethical Sourcing Fully compliant

Your Swiss Army Knife for Hiring & Sales Every Profile Includes:

Verified work & personal emails + mobile numbers

Full career history (With durations)

Rich skills matrix (endorsed & self-reported)

Education and certifications

Team size & current management scope

Trusted Across Industries:

🔹 Recruitment Agencies Source Python developers with consistent GitHub activity

Discover passive CFOs open to PE-backed ventures

🔹 Sales Teams Target CMOs within their first 90 days on the job

Track buyers engaging with competitors’ ads (via intent data)

🔹 VC & PE Firms Build accurate org charts for due diligence

Identify leadership teams preparing to exit post-acquisition

🔹 HR Tech & SaaS Platforms Enrich ATS/CRM systems through API

Power diversity dashboards with gender & ethnicity insights

Enterprise-Ready Delivery ATS/CRM Integrations: Greenhouse, Bullhorn, Salesforce

Real-Time API: Lookups with sub-300ms latency

Snowflake Sync: Daily refreshed tables with SCD2 history

Compliance Hub: Auto-delete & opt-out workflows across systems

LinkedIn Database | Verified B2B Contacts | Recruitment Intelligence | Sales Lead Database | Talent Mapping | Executive Contact Data | GDPR-Compliant Profiles | Passive Candidate Sourcing | People Enrichment API | Skills-Based Hiring

This bar chart displays employees (people) by LinkedIn link using the aggregation sum in Pico Rivera. The data is about companies.

Sign Up for a free trial: https://rampedup.io/sign-up-%2F-log-in - 7 Days and 50 Credits to test our quality and accuracy.

These are the fields available within the RampedUp Global dataset.

CONTACT DATA: Personal Email Address - We manage over 115 million personal email addresses Professional Email - We manage over 200 million professional email addresses Home Address - We manage over 20 million home addresses Mobile Phones - 65 million direct lines to decision makers Social Profiles - Individual Facebook, Twitter, and LinkedIn Local Address - We manage 65M locations for local office mailers, event-based marketing or face-to-face sales calls.

JOB DATA: Job Title - Standardized titles for ease of use and selection Company Name - The Contact's current employer Job Function - The Company Department associated with the job role Title Level - The Level in the Company associated with the job role Job Start Date - Identify people new to their role as a potential buyer

EMPLOYER DATA: Websites - Company Website, Root Domain, or Full Domain Addresses - Standardized Address, City, Region, Postal Code, and Country Phone - E164 phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, and Twitter

FIRMOGRAPHIC DATA: Industry - 420 classifications for categorizing the company’s main field of business Sector - 20 classifications for categorizing company industries 4 Digit SIC Code - 239 classifications and their definitions 6 Digit NAICS - 452 classifications and their definitions Revenue - Estimated revenue and bands from 1M to over 1B Employee Size - Exact employee count and bands Email Open Scores - Aggregated data at the domain level showing relationships between email opens and corporate domains. IP Address -Company level IP Addresses associated to Domains from a DNS lookup

CONSUMER DATA: Education - Alma Mater, Degree, Graduation Date Skills - Accumulated Skills associated with work experience
Interests - Known interests of contact Connections - Number of social connections. Followers - Number of social followers

Download our data dictionary: https://rampedup.io/our-data

Context

Social Media has been taking up everything on the Internet. People getting the latest news, useful resources, life partner and what not. In a world where Social media plays a big role in giving news, we must also know that news which affects our sentiments are going to get spread like a wildfire. Based on the Headline and the title, and according to the date given and the Social media platforms, you have to predict how it has affected the human sentiment scores. You have to predict the column “SentimentTitle” and “SentimentHeadline”.

Content

This is a subset of the dataset of the same name available in the UCI Machine Learning Repository The collected data relates to a period of 8 months, between November 2015 and July 2016, accounting for about 100,000 news items on four different topics: economy, microsoft, obama and palestine.

Dataset Information

The attributes for each of the dataset are : - IDLink (numeric): Unique identifier of news items - Title (string): Title of the news item according to the official media sources - Headline (string): Headline of the news item according to the official media sources - Source (string): Original news outlet that published the news item - Topic (string): Query topic used to obtain the items in the official media sources - Publish-Date (timestamp): Date and time of the news items' publication - Facebook (numeric): Final value of the news items' popularity according to the social media source Facebook - Google-Plus (numeric): Final value of the news items' popularity according to the social media source Google+ - LinkedIn (numeric): Final value of the news items' popularity according to the social media source LinkedIn - SentimentTitle: Sentiment score of the title, Higher the score, better is the impact or +ve sentiment and vice-versa. (Target Variable 1) - SentimentHeadline: Sentiment score of the text in the news items' headline. Higher the score, better is the impact or +ve sentiment. (Target Variable 2)

This bar chart displays employees (people) by LinkedIn link using the aggregation sum in Moffat. The data is about companies.

Marketplace becomes more sexier of a platform through the years. Especially, several things that happened has made people to interact and give more engagement to the marketplace as it is easier and more time effiecient to buy or just to see things.

Marketplace giving more traffic also conversion thus alluring people to be one of the merchant in the marketplace itself. The merchant must see the behaviour in competing with other merchant also the user behaviour from the marketplace experience. These data are from January to May 2020 fetched daily by crawling the engine.

There's a dataset containing a marketplace data for smartphone products. The dataset is containing some merchants also users statistics in a marketplace. Any methods or better strategy much appreciated to build a good idea for any merchant to decide better strategy in pricing, stock, bundling program (or etc) from this marketplace data.

For more info please contact linkedin: kurnia khairunnisaa

A social networking site focused on business and jobs, LinkedIn was established in 2002 and is owned by Microsoft. Users of LinkedIn have the opportunity to upgrade to premium accounts, and it is estimated that there were ***** million premium users on the platform in 2023, up from around ***** million in 2022.